Failed 2019

    Anki

    Beloved products die when a follow-on round doesn't close — consumer hardware needs 3+ years of runway per SKU.

    TL;DR — Failure Post-Mortem

    Anki was a Consumer Robotics startup founded in 2010 in USA. It raised $200M before collapsing in 2019 — 9 years of runway burned. IdeaProof's AI Failure Score: 63/100, driven by consumer robotics burn out cash before scale. The shutdown affected employees, investors, and the broader Consumer Robotics ecosystem. This case study breaks down the timeline, root causes, competitors that won, and replicable lessons for founders validating similar ideas today.

    Why did Anki fail?

    Anki failed in 2019 after 9 years of operation, losing $200M in raised capital. The root cause was consumer robotics burn out cash before scale. Key lesson: Beloved products die when a follow-on round doesn't close — consumer hardware needs 3+ years of runway per SKU.

    Verifiable facts
    Sourced
    Founded → Closed

    2010 → 2019

    Funding Raised

    $200M

    Industry

    Consumer Robotics

    Country

    USA

    IdeaProof AI Failure Score

    63/100
    Market Fit Risk
    75
    Burn Rate Risk
    85
    Founder Risk
    30

    What Happened: The Timeline

    🚀

    2010

    Founded by three CMU robotics grads

    📈

    2013-06

    Anki Drive unveiled at Apple's WWDC keynote

    📈

    2016-10

    Cozmo launches to strong reviews

    💀

    2019-04-29

    Last-minute funding falls through; abrupt shutdown

    Root Causes

    Consumer robotics R&D outpaced revenue
    Single failed round forced instant shutdown
    Reliance on a small number of hero SKUs
    Difficult retail margins vs Amazon

    Anki built the well-reviewed Cozmo and Vector home robots, selling 1.5M+ units and reaching ~$100M in 2017 revenue. A planned funding round collapsed at the last minute in April 2019, forcing an abrupt shutdown of 200+ employees despite genuine product-market love. Digital Dream Labs later acquired the IP for pennies and continues limited operations, but the primary company failed.

    Causal Chain

    Derived · heuristic

    This is our reading of the causal chain — separated from the verifiable facts above. Timeline dates, funding numbers and filings are facts (see methodology); root / proximate / terminal attribution is judgement based on public evidence.

    Root cause

    Structural mismatch between burn rate and revenue growth: capital was consumed on scaling before unit economics turned positive, leaving no bridge when the next round failed to close.

    Contributing factors
    • Consumer robotics R&D outpaced revenue
    • Single failed round forced instant shutdown
    • Reliance on a small number of hero SKUs
    • Difficult retail margins vs Amazon
    Terminal event

    2019-04-29: Last-minute funding falls through; abrupt shutdown

    Base rates

    External sources

    A single failure is an anecdote. These base rates give you the denominator — how common this outcome is across all startups matching Anki's profile. Sources are third-party; we do not restate them as our own claims.

    38%
    reason

    of failed startups cite "ran out of cash / could not raise" as the primary trigger — the most common terminal event across cycles.

    CB Insights — Top 12 Reasons Startups Fail (2021)
    ~90%
    all

    of startups ultimately fail — including ~10% that fail in the first year and the rest across the following decade.

    Startup Genome / CB Insights aggregate (2024)
    ~35%
    all

    of new US employer businesses survive past their 10th year (Bureau of Labor Statistics BED series).

    US Bureau of Labor Statistics — BED (2024)
    ~35%
    stage

    of Series A rounds ever graduate to Series B; the rest run out of runway or pivot without a follow-on.

    CB Insights Venture Capital Funnel (2023)

    Key Lessons Learned

    1. Cash discipline in hardware is existential

    One missed close ends hardware companies immediately — always keep 12+ months of true runway.

    Frequently Asked Questions

    Sources & Confidence

    Every data point is tagged with its source type and our confidence in it. How we grade sources.

    Additional references
    Recode — Anki shutdown

    Could This Failure Have Been Prevented?

    IdeaProof's AI validates market demand, competitive positioning, and business model viability in minutes — catching the exact issues that sank Anki.

    Related Failures

    Jibo

    $73M · 2019

    Three-year shipping delay, $899 price point, undercut by Alexa and Google Home

    Spotted a factual error?

    Approved corrections are published in the public changelog with attribution.

    After Anki: hubs, comparisons and deep dives

    Compare the validation, funding and go-to-market choices that separate survivors from failures like Anki.